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Stroke Correspondence by Labeling Closed Areas

机译:通过标记封闭区域的行程对应

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Constructing stroke correspondences between keyframes is one of the most important processes in the production pipeline of hand-drawn inbetweening frames. This process requires time-consuming manual work imposing a tremendous burden on the animators. We propose a method to estimate stroke correspondences between raster character images (keyframes) without vectorization processes. First, the proposed system separates the closed areas in each keyframe and estimates the correspondences between closed areas by using the characteristics of shape, depth, and closed area connection. Second, the proposed system estimates stroke correspondences from the estimated closed area correspondences. We demonstrate the effectiveness of our method by performing a user study and comparing the proposed system with conventional approaches.
机译:构建关键帧之间的笔划对应关系是手绘嵌入框架的生产流水线中最重要的过程之一。 这个过程需要耗时的手动工作对动画师造成巨大负担。 我们提出了一种方法来估计栅格角色图像(关键帧)之间的笔划对应,而不为矢量化进程。 首先,所提出的系统将每个关键帧中的封闭区域分开,通过使用形状,深度和闭合区域连接的特性来估计封闭区域之间的对应关系。 其次,所提出的系统估计来自估计的封闭区域对应关系的笔划对应关系。 我们通过执行用户学习并将所提出的系统与传统方法进行比较来证明我们的方法的有效性。

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